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https://github.com/affaan-m/everything-claude-code.git
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feat(skills): add brand voice and network ops lanes
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@@ -19,7 +19,7 @@ Programmatic interaction with X (Twitter) for posting, reading, searching, and a
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## Authentication
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### OAuth 2.0 (App-Only / User Context)
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### OAuth 2.0 Bearer Token (App-Only)
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Best for: read-heavy operations, search, public data.
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@@ -46,25 +46,27 @@ tweets = resp.json()
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### OAuth 1.0a (User Context)
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Required for: posting tweets, managing account, DMs.
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Required for: posting tweets, managing account, DMs, and any write flow.
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```bash
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# Environment setup — source before use
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export X_API_KEY="your-api-key"
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export X_API_SECRET="your-api-secret"
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export X_CONSUMER_KEY="your-consumer-key"
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export X_CONSUMER_SECRET="your-consumer-secret"
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export X_ACCESS_TOKEN="your-access-token"
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export X_ACCESS_SECRET="your-access-secret"
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export X_ACCESS_TOKEN_SECRET="your-access-token-secret"
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```
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Legacy aliases such as `X_API_KEY`, `X_API_SECRET`, and `X_ACCESS_SECRET` may exist in older setups. Prefer the `X_CONSUMER_*` and `X_ACCESS_TOKEN_SECRET` names when documenting or wiring new flows.
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```python
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import os
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from requests_oauthlib import OAuth1Session
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oauth = OAuth1Session(
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os.environ["X_API_KEY"],
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client_secret=os.environ["X_API_SECRET"],
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os.environ["X_CONSUMER_KEY"],
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client_secret=os.environ["X_CONSUMER_SECRET"],
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resource_owner_key=os.environ["X_ACCESS_TOKEN"],
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resource_owner_secret=os.environ["X_ACCESS_SECRET"],
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resource_owner_secret=os.environ["X_ACCESS_TOKEN_SECRET"],
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)
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```
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@@ -92,7 +94,6 @@ def post_thread(oauth, tweets: list[str]) -> list[str]:
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if reply_to:
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payload["reply"] = {"in_reply_to_tweet_id": reply_to}
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resp = oauth.post("https://api.x.com/2/tweets", json=payload)
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resp.raise_for_status()
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tweet_id = resp.json()["data"]["id"]
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ids.append(tweet_id)
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reply_to = tweet_id
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@@ -126,6 +127,21 @@ resp = requests.get(
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)
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```
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### Pull Recent Original Posts for Voice Modeling
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```python
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resp = requests.get(
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"https://api.x.com/2/tweets/search/recent",
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headers=headers,
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params={
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"query": "from:affaanmustafa -is:retweet -is:reply",
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"max_results": 25,
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"tweet.fields": "created_at,public_metrics",
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}
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)
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voice_samples = resp.json()
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```
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### Get User by Username
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```python
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@@ -155,17 +171,12 @@ resp = oauth.post(
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)
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```
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## Rate Limits Reference
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## Rate Limits
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| Endpoint | Limit | Window |
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|----------|-------|--------|
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| POST /2/tweets | 200 | 15 min |
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| GET /2/tweets/search/recent | 450 | 15 min |
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| GET /2/users/:id/tweets | 1500 | 15 min |
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| GET /2/users/by/username | 300 | 15 min |
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| POST media/upload | 415 | 15 min |
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Always check `x-rate-limit-remaining` and `x-rate-limit-reset` headers.
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X API rate limits vary by endpoint, auth method, and account tier, and they change over time. Always:
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- Check the current X developer docs before hardcoding assumptions
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- Read `x-rate-limit-remaining` and `x-rate-limit-reset` headers at runtime
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- Back off automatically instead of relying on static tables in code
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```python
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import time
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@@ -202,13 +213,18 @@ else:
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## Integration with Content Engine
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Use `content-engine` skill to generate platform-native content, then post via X API:
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1. Generate content with content-engine (X platform format)
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2. Validate length (280 chars for single tweet)
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3. Post via X API using patterns above
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4. Track engagement via public_metrics
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Use `brand-voice` plus `content-engine` to generate platform-native content, then post via X API:
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1. Pull recent original posts when voice matching matters
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2. Build or reuse a `VOICE PROFILE`
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3. Generate content with `content-engine` in X-native format
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4. Validate length and thread structure
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5. Return the draft for approval unless the user explicitly asked to post now
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6. Post via X API only after approval
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7. Track engagement via public_metrics
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## Related Skills
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- `brand-voice` — Build a reusable voice profile from real X and site/source material
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- `content-engine` — Generate platform-native content for X
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- `crosspost` — Distribute content across X, LinkedIn, and other platforms
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- `connections-optimizer` — Reorganize the X graph before drafting network-driven outreach
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